In other embodiments the stored imagery or other data may be obtained and analyzed at the time of storage or at a later time by other users or systems with remote access to the stored data, for example, a user or computer program of computing device 224 that obtains the stored or transmitted imagery data from either server(s) 220 and/or mainframe(s) 222 via network 230.
3D Image Distification
3D images captured, generated and/or stored, as described herein, for example, for FIGS. 1 and 2, can include, in some embodiments, several thousands of points of 3D data. The number of 3D data points can vary based on the environment the data is captured in and based on the quality or resolution of the 3D image, which can further differ based on, for example, an intended end-use of the 3D images. For example, a 3D capture of a video involving a driver operating a vehicle may include 5 frames-per-second with 10,000 3D points per frame. Thus, for a 60 second movie, 3 million 3D points would be generated across all of the 3D frames (3D images) as captured or generated by a computing device for the 3D movie. In some embodiments, the 3D points may be represented in a point cloud, which is a set of data points in a given coordinate system. In a three-dimensional coordinate system, for example, the point cloud can be defined by horizontal, vertical, and depth coordinates (e.g., x, y, and z coordinates, respectively), that can, for example, in some embodiments, represent the external surface of an object. Point clouds can be created by 3D scanners, cameras, or sensors, for example, by any of the 3D scanners, cameras or sensors of computing devices described herein with respect to FIGS. 1 and 2.
